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Remote Machine Learning Architect Jobs in Atlanta, GA

COBOL Developer - Remote

Atlanta, GA · Remote

$100 - $150/hr

Provide expert guidance on legacy system architecture, integrations, and dependencies ... Prior experience contributing domain expertise to AI, data, or machine-learning projects is a plus ...

New

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating ...

Databricks SME

Atlanta, GA · Remote

$66.25 - $87/hr

Azure Solutions Architect Expert * Google Professional Data Engineer * Databricks Machine Learning Professional * Snowflake or other cloud data platform certifications Soft Skills * Strong ...

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

New

Sr Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

... machine learning applications, and business-critical data products across Kiewit. The ideal candidate will combine strong data engineering fundamentals with technical leadership, sound architectural ...

New

Showing results 21-40

Remote Machine Learning Architect information

See Atlanta, GA salary details

$44.7K

$123.8K

$193.8K

How much do remote machine learning architect jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote machine learning architect in Atlanta, GA is $123,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $159,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

How does a remote machine learning architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What are the key skills and qualifications needed to thrive as a remote machine learning architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What are popular job titles related to Remote Machine Learning Architect jobs in Atlanta, GA?

For Remote Machine Learning Architect jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Architect jobs in Atlanta, GA look for?

The top searched job categories for Remote Machine Learning Architect jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Machine Learning Architect jobs?

Cities near Atlanta, GA with the most Remote Machine Learning Architect job openings:

Infographic showing various Remote Machine Learning Architect job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $123,819 per year, or $59.5 per hour.

Video Annotation Expert - Remote

Atlanta, GA • Remote

$50 - $90/hr

Full-time

Posted 2 days ago

New


Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities
  • Review videos and identify key actions, events, and outcomes.
  • Annotate and label video content according to project guidelines.
  • Use video annotation tools to create accurate, structured datasets.
  • Maintain consistency and accuracy across annotations.
  • Collaborate with team members to resolve unclear cases.
  • Participate in quality checks and incorporate feedback.
Requirements
  • Experience in video annotation, data labeling, or similar work preferred.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • Strong time-management and organizational abilities.
  • Experience with AI, machine learning, or robotics projects is a plus.